Newspaper of the university of alaska southeast juneau campus

Lady Whales may lose three players -- Kearney prompts task force -- Students approve money for day care center -- Gifford: Enrollment downturn will reverse -- University radio proponents off the air for now -- Study shows UAS faculty salaries on low end of scale -- 'Tuxedo' tickets on sale now -- Intramural sports effort approved -- Let's 'drive up' our dividend check's value -- LETTER -- Christian fellowship thrives -- BRIEFS -- Hudson says education key concern -- Evidence says unsafe sex habits persist -- Sakarias takes trophy in first joint chess tourney -- Legislature studies high dropout figures -- UNCLASSIFIED

The official student newspaper of the University of Alaska Southeast - Juneau

Bishop Kenny shares Middle East experiences -- New classrooms proposed for UAS Campus -- Honors Brass Quintet offers workshop, concerts -- If you Don't Like It; Get Involved and Change It! -- Child goes for Guinness -- Correction -- Added stress of assessment is well worth the improvement in quality of student writing at UAS -- It's Time For Commitment -- Write a letter, join the staff, or quit your bitching -- UAS Men's And Women's Teams Win -- Giving the gift of music: Boxed sets offer treat for collectors -- Auke Lake campus to get bus stop shelter in 1991 -- Clubs on campus seek active members -- Student Art Show At Egan Library -- Sobriety: a new look at an old problem -- Local poet

Boy meets goal, boy loses goal, boy gets goal : the nature of feedback between goal-based simulation and understanding systems

We are designing a goal-based planning and simulation system called REACTOR for a multiple-actor world in which partially formulated plans are monitored during execution, providing feedback to the planner. Plan failures that occur are diagnosed by a combination of top-down (plan-synthesis) and bottom-up (plan-understanding) techniques, allowing an informed choice of response to the error. By maintaining separate belief spaces for each actor, we simulate planners who themselves simulate the planning and plan-understanding of other actors

Sherlock Holmes: An expert’s view of expertise

In recent years, there has been an intense research effort to understand the cognitive processes and structures underlying expert behaviour. Work in different fields, including scientific domains, sports, games, and mnemonics, has shown that there are vast differences in perceptual abilities between experts and novices, and that these differences may underpin other cognitive differences in learning, memory, and problem solving. In this article, we evaluate the progress made in the last years through the eyes of an outstanding, albeit fictional, expert: Sherlock Holmes. We first use the Sherlock Holmes character to illustrate expert processes as described by current research and theories. In particular, the role of perception, as well as the nature and influence of expert knowledge, are all present in the description of Conan Doyle’s hero. In the second part of the article, we discuss a number of issues that current research on expertise has barely addressed. These gaps include, for example, several forms of reasoning, the influence of emotions on cognition, and the effect of age on experts’ knowledge and cognitive processes. Thus, although nearly 120 years old, Conan Doyle’s books show remarkable illustrations of expert behaviour, including the coverage of themes that have mostly been overlooked by current research

Intelligent agent for formal modelling of temporal multi-agent systems

Software systems are becoming complex and dynamic with the passage of time, and to provide better fault tolerance and resource management they need to have the ability of self-adaptation. Multi-agent systems paradigm is an active area of research for modeling real-time systems. In this research, we have proposed a new agent named SA-ARTIS-agent, which is designed to work in hard real-time temporal constraints with the ability of self-adaptation. This agent can be used for the formal modeling of any self-adaptive real-time multi-agent system. Our agent integrates the MAPE-K feedback loop with ARTIS agent for the provision of self-adaptation. For an unambiguous description, we formally specify our SA-ARTIS-agent using Time-Communicating Object-Z (TCOZ) language. The objective of this research is to provide an intelligent agent with self-adaptive abilities for the execution of tasks with temporal constraints. Previous works in this domain have used Z language which is not expressive to model the distributed communication process of agents. The novelty of our work is that we specified the non-terminating behavior of agents using active class concept of TCOZ and expressed the distributed communication among agents. For communication between active entities, channel communication mechanism of TCOZ is utilized. We demonstrate the effectiveness of the proposed agent using a real-time case study of traffic monitoring system

Spartan Daily, May 11, 1982

Volume 78, Issue 61https://scholarworks.sjsu.edu/spartandaily/6904/thumbnail.jp